Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
翻译 - 18.337-并行计算与科学机器学习
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, ...
翻译 - 进入用于机器学习，线性代数，FFT，贝塞尔，椭圆形，正交多边形，几何，NURBS，数值正交，3D超限插值，随机数，梅森扭曲器，概率分布，优化，图形，绘图，可视化，张量，特征值的科学库，微分方程等。
#计算机科学#Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
翻译 - 具有GPU支持和高效灵敏度分析的可区分SDE求解器。
#计算机科学#Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
翻译 - JAX 中的数值微分方程求解器。可自微分且支持 GPU。
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and ...
#计算机科学#Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Brian is a free, open source simulator for spiking neural networks.
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
#计算机科学#A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
#计算机科学#Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
翻译 - 代码“不规则时间序列的神经控制微分方程”
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning ...
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
#时序数据库# 🌊 Numerically solving and backpropagating through the wave equation
翻译 - through通过波动方程进行数值求解和反向传播
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
#计算机科学#Physics-Informed Neural networks for Advanced modeling
#计算机科学#Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)